Combining velocity and Location-Specific Spatial Clues in Trajectories for Counting Crowded Moving Objects. - Mahdi Hashemzadeh; Gang Pan 001; Yueming Wang 001; Min Yao; Jian Wu (Int. J. Pattern Recognit. Artif. Intell., 2013)

Counting moving people in crowds using motion statistics of feature-points. - Mahdi Hashemzadeh; Gang Pan 001; Min Yao (Multim. Tools Appl., 2014)

A Machine Vision System for Detecting Fertile Eggs in the Incubation Industry. - Mahdi Hashemzadeh; Nacer Farajzadeh (Int. J. Comput. Intell. Syst., 2016)

Combining keypoint-based and segment-based features for counting people in crowded scenes. - Mahdi Hashemzadeh; Nacer Farajzadeh (Inf. Sci., 2016)

Hiding information in videos using motion clues of feature points. - Mahdi Hashemzadeh (Comput. Electr. Eng., 2018)

Exemplar-based facial expression recognition. - Nacer Farajzadeh; Mahdi Hashemzadeh (Inf. Sci., 2018)

A fast and accurate moving object tracker in active camera model. - Nacer Farajzadeh; Aziz Karamiani; Mahdi Hashemzadeh (Multim. Tools Appl., 2018)

Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods. - Mahdi Hashemzadeh; Baharak Adlpour Azar (Artif. Intell. Medicine, 2019)

New fuzzy C-means clustering method based on feature-weight and cluster-weight learning. - Mahdi Hashemzadeh; Amin Golzari Oskouei; Nacer Farajzadeh (Appl. Soft Comput., 2019)

Fire detection for video surveillance applications using ICA K-medoids-based color model and efficient spatio-temporal visual features. - Mahdi Hashemzadeh; Alireza Zademehdi (Expert Syst. Appl., 2019)

Content-aware image resizing: An improved and shadow-preserving seam carving method. - Mahdi Hashemzadeh; Bahareh Asheghi; Nacer Farajzadeh (Signal Process., 2019)

CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation. - Amin Golzari Oskouei; Mahdi Hashemzadeh; Bahareh Asheghi; Mohammad Ali Balafar (Appl. Soft Comput., 2021)

RCSMOTE: Range-Controlled synthetic minority over-sampling technique for handling the class imbalance problem. - Paria Soltanzadeh; Mahdi Hashemzadeh (Inf. Sci., 2021)

A deep neural network based framework for restoring the damaged persian pottery via digital inpainting. - Nacer Farajzadeh; Mahdi Hashemzadeh (J. Comput. Sci., 2021)

Smoke detection in video using convolutional neural networks and efficient spatio-temporal features. - Mahdi Hashemzadeh; Nacer Farajzadeh; Milad Heydari (Appl. Soft Comput., 2022)

A fully-convolutional residual encoder-decoder neural network to localize breast cancer on histopathology images. - Nacer Farajzadeh; Nima Sadeghzadeh; Mahdi Hashemzadeh (Comput. Biol. Medicine, 2022)

QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method. - Mehrad Aria; Mahdi Hashemzadeh; Nacer Farajzadeh (Neurocomputing, 2022)

A geometric-based clustering method using natural neighbors. - Shahin Pourbahrami; Mahdi Hashemzadeh (Inf. Sci., 2022)

ACQC: Apollonius Circle-based Quantum Clustering. - Nasim Abdolmaleki; Leyli Mohammad Khanli; Mahdi Hashemzadeh; Shahin Pourbahrami (J. Comput. Sci., 2022)

UFS-Net: A unified flame and smoke detection method for early detection of fire in video surveillance applications using CNNs. - Ali Hosseini; Mahdi Hashemzadeh; Nacer Farajzadeh (J. Comput. Sci., 2022)

A Comprehensive Review on Content-Aware Image Retargeting: From Classical to State-of-the-art Methods. - Bahareh Asheghi; Pedram Salehpour; Abdolhamid Moallemi Khiavi; Mahdi Hashemzadeh (Signal Process., 2022)

CGFFCM: A color image segmentation method based on cluster-weight and feature-weight learning. - Amin Golzari Oskouei; Mahdi Hashemzadeh (Softw. Impacts, 2022)

PMG-Net: Persian music genre classification using deep neural networks. - Nacer Farajzadeh; Nima Sadeghzadeh; Mahdi Hashemzadeh (Entertain. Comput., 2023)

Brain tumor segmentation and classification on MRI via deep hybrid representation learning. - Nacer Farajzadeh; Nima Sadeghzadeh; Mahdi Hashemzadeh (Expert Syst. Appl., 2023)

FoodRecNet: a comprehensively personalized food recommender system using deep neural networks. - Saeed Hamdollahi Oskouei; Mahdi Hashemzadeh (Knowl. Inf. Syst., 2023)

Addressing the class-imbalance and class-overlap problems by a metaheuristic-based under-sampling approach. - Paria Soltanzadeh; Mohammad-Reza Feizi-Derakhshi; Mahdi Hashemzadeh (Pattern Recognit., 2023)

DASOD: Detail-aware salient object detection. - Bahareh Asheghi; Pedram Salehpour; Abdolhamid Moallemi Khiavi; Mahdi Hashemzadeh; Amirhassan Monajemi (Image Vis. Comput., 2024)

DiagCovidPNA: diagnosing and differentiating COVID-19, viral and bacterial pneumonia from chest X-ray images using a hybrid specialized deep learning approach. - Vahid Mohammadian Takaloo; Mahdi Hashemzadeh; Jalil Ghavidel Neycharan (Soft Comput., 2024)

ACQC-LJP: Apollonius circle-based quantum clustering using Lennard-Jones potential. - Nasim Abdolmaleki; Leyli Mohammad Khanli; Mahdi Hashemzadeh; Shahin Pourbahrami (Pattern Recognit., 2025)

A robust possibilistic semi-supervised fuzzy clustering algorithm with neighborhood-aware feature weighting. - Arezou Najafi Moghaddam; Nasser Aghazadeh; Mahdi Hashemzadeh; Amin Golzari Oskouei (Int. J. Mach. Learn. Cybern., 2025)